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Maturity Model as the Tool for Information/Data Literacy Assessment

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Information Experience and Information Literacy (ECIL 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2042))

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Abstract

The aim of this article is to present the similarities between two assessment tools: data literacy (DL) rubrics and research data management services maturity models (RDMS MM). In addition to their structural similarity (both tools are presented in matrix form), they also share a functional similarity in that both include issues related to the users of research data. A content analysis was performed on six RDMS MMs (found in literature) to search for matrix elements to evaluate DL-related problems. The results of the analysis were used to conduct two studies. First, the ratio of RDMS MM dimensions related to DL problems was compared to other dimensions. Secondly, the level of compliance of the MM with the DL competency matrix was determined. In both cases, the results showed a large proportion of DL issues in RDMS MM.

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Authors and Affiliations

  1. Institute of Information Studies, Jagiellonian University, Cracow, Poland

    Marek Nahotko

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  1. Marek Nahotko
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Correspondence to Marek Nahotko .

Editor information

Editors and Affiliations

  1. Hacettepe University, Ankara, Türkiye

    Serap Kurbanoğlu

  2. University of Zagreb, Zagreb, Croatia

    Sonja Špiranec

  3. Université Gustav Eiffel, Paris, France

    Joumana Boustany

  4. Hacettepe University, Ankara, Türkiye

    Yurdagül Ünal

  5. Hacettepe University, Ankara, Türkiye

    İpek Şencan

  6. University of Zagreb, Zagreb, Croatia

    Denis Kos

  7. University of California, Los Angeles, CA, USA

    Esther Grassian

  8. University of California, Los Angeles, CA, USA

    Diane Mizrachi

  9. The University of Texas at Austin, Austin, TX, USA

    Loriene Roy

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Nahotko, M. (2024). Maturity Model as the Tool for Information/Data Literacy Assessment. In: Kurbanoğlu, S., et al. Information Experience and Information Literacy. ECIL 2023. Communications in Computer and Information Science, vol 2042. Springer, Cham. https://doi.org/10.1007/978-3-031-53001-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-53001-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53000-5

  • Online ISBN: 978-3-031-53001-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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